Title :
Label propagation through edge-preserving filters
Author :
Rzeszutek, Richard ; Androutsos, D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
Abstract :
In this paper we investigate methods for propagating automatically generated or user-defined labels through an image using edge-preserving filters. We focus on the domain transform filter as it has been used for propagation purposes in the past. The method we present addresses some of the numerical issues that arise with using the filter directly and also improve on the results by better respecting the underlying image structure during the label propagation. Finally we also demonstrate how a filter-based approach is preferable to using global optimization for interpolating automatically generated sparse features.
Keywords :
edge detection; feature extraction; interpolation; automatically generated sparse features; domain transform filter; edge preserving filters; global optimization; image structure; label propagation; Image color analysis; Image edge detection; Interpolation; Labeling; Optimization; Three-dimensional displays; Transforms; 2D to 3D Conversion; Domain Transform; Label Propagation; Sparse Feature Interpolation;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6853666